Instead of brief but ambiguous guidance, MGIE derives explicit visual-aware intention and leads to reasonable image editing. We conduct extensive studies from various editing aspects and demonstrate that our MGIE effectively improves performance while maintaining competitive efficiency. We also believe the MLLM-guided framework can contribute to future vision-and-language research, the researchers said in the paper.
Apple has made MGIE available through GitHub for download, but it also released a web demo on Hugging Face Spaces, reports VentureBeat. The company did not say what its plans for the model are beyond research.
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